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COMPLEXITY
2008
84views more  COMPLEXITY 2008»
15 years 4 months ago
Evolutionary learning of small networks
Results are presented of a simulation which mimics an evolutionary learning process for small networks. Special features of these networks include a high recurrency, a transition ...
Thomas Filk, Albrecht von Müller
JCM
2006
95views more  JCM 2006»
15 years 4 months ago
A Learning-based Adaptive Routing Tree for Wireless Sensor Networks
One of the most common communication patterns in sensor networks is routing data to a base station, while the base station can be either static or mobile. Even in static cases, a s...
Ying Zhang, Qingfeng Huang
130
Voted
TVCG
2008
121views more  TVCG 2008»
15 years 4 months ago
On the Visualization of Social and other Scale-Free Networks
This paper proposes novel methods for visualizing specifically the large power-law graphs that arise in sociology and the sciences. In such cases a large portion of edges can be sh...
Yuntao Jia, Jared Hoberock, Michael Garland, John ...
BMCBI
2004
89views more  BMCBI 2004»
15 years 4 months ago
Network analysis of metabolic enzyme evolution in Escherichia coli
Background: The two most common models for the evolution of metabolism are the patchwork evolution model, where enzymes are thought to diverge from broad to narrow substrate speci...
Sara Light, Per Kraulis
CORR
2002
Springer
97views Education» more  CORR 2002»
15 years 4 months ago
Classification of Random Boolean Networks
We provide the first classification of different types of Random Boolean Networks (RBNs). We study the differences of RBNs depending on the degree of synchronicity and determinism...
Carlos Gershenson